Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pecos County, TX

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pecos County, TX
Series ID MHICIUBTX48371A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2024-01-01
Last Updated 2026-02-09 7:02 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 23712
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26337
1994-01-01 .
1995-01-01 28953
1996-01-01 .
1997-01-01 30439
1998-01-01 30340
1999-01-01 28756
2000-01-01 30617
2001-01-01 29966
2002-01-01 29501
2003-01-01 30249
2004-01-01 31224
2005-01-01 33553
2006-01-01 35459
2007-01-01 37825
2008-01-01 40775
2009-01-01 41151
2010-01-01 42539
2011-01-01 47099
2012-01-01 46254
2013-01-01 48044
2014-01-01 49127
2015-01-01 50460
2016-01-01 50022
2017-01-01 49011
2018-01-01 51972
2019-01-01 58646
2020-01-01 61003
2021-01-01 55214
2022-01-01 60615
2023-01-01 65524
2024-01-01 71140

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